Download
InstantCharacter is a tuning-free diffusion transformer framework created by Tencent Hunyuan / InstantX team, which enables generating images of a specific character (subject) from a single reference image, preserving identity and character features. Uses adapters, so full fine-tuning of the base model is not required. Demo scripts and pipeline API (via infer_demo.py, pipeline.py) included. It works by adapting a base image generation model with a lightweight adapter so that you can produce character-preserving generations in various downstream tasks (e.g. changing pose, clothing, scene) without needing full model fine-tuning. Works with huggingface/transformers/diffusers ecosystems.
Features
- Tuning-free: uses adapters, so full fine-tuning of the base model is not required
- Preserves character identity from a single reference image
- Supports style customization (e.g. via LoRA style adapters)
- Offload inference for reduced VRAM usage (works under ~22GB VRAM)
- Demo scripts and pipeline API (via infer_demo.py, pipeline.py) included
- Works with huggingface / transformers / diffusers ecosystems
Project Samples
Follow InstantCharacter
Other Useful Business Software
Go from Code to Production URL in Seconds
Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of InstantCharacter!
